Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Silvia, Penco"'
Autor:
Maria Alessia Zerella, Mattia Zaffaroni, Giuseppe Ronci, Samantha Dicuonzo, Damaris Patricia Rojas, Anna Morra, Cristiana Fodor, Elena Rondi, Sabrina Vigorito, Francesca Botta, Marta Cremonesi, Cristina Garibaldi, Silvia Penco, Viviana Enrica Galimberti, Mattia Intra, Sara Gandini, Massimo Barberis, Giuseppe Renne, Federica Cattani, Paolo Veronesi, Roberto Orecchia, Barbara Alicja Jereczek-Fossa, Maria Cristina Leonardi
Publikováno v:
BMC Cancer, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background Breast-conserving surgery (BCS) and whole breast radiation therapy (WBRT) are the standard of care for early-stage breast cancer (BC). Based on the observation that most local recurrences occurred near the tumor bed, accelerated p
Externí odkaz:
https://doaj.org/article/3aff575229a74e338054d07949839efd
Autor:
Filippo Pesapane, Luciano Mariano, Francesca Magnoni, Anna Rotili, Davide Pupo, Luca Nicosia, Anna Carla Bozzini, Silvia Penco, Antuono Latronico, Maria Pizzamiglio, Giovanni Corso, Enrico Cassano
Publikováno v:
Medicina, Vol 59, Iss 9, p 1544 (2023)
Background and Objectives: Breast cancer (BC) is a leading cause of morbidity and mortality worldwide, and accurate assessment of axillary lymph nodes (ALNs) is crucial for patient management and outcomes. We aim to summarize the current state of ALN
Externí odkaz:
https://doaj.org/article/cffb0f85a7c0439c9dab1dc35ee11f34
Autor:
Anna Rotili, Filippo Pesapane, Giulia Signorelli, Silvia Penco, Luca Nicosia, Anna Bozzini, Lorenza Meneghetti, Cristina Zanzottera, Sara Mannucci, Bernardo Bonanni, Enrico Cassano
Publikováno v:
Diagnostics, Vol 13, Iss 12, p 1996 (2023)
Purpose: This study aimed to investigate the use of contrast-free magnetic resonance imaging (MRI) as an innovative screening method for detecting breast cancer in high-risk asymptomatic women. Specifically, the researchers evaluated the diagnostic p
Externí odkaz:
https://doaj.org/article/022234de092547ad94d1875d7420c906
Autor:
Filippo Pesapane, Anna Rotili, Giorgio Maria Agazzi, Francesca Botta, Sara Raimondi, Silvia Penco, Valeria Dominelli, Marta Cremonesi, Barbara Alicja Jereczek-Fossa, Gianpaolo Carrafiello, Enrico Cassano
Publikováno v:
Current Oncology, Vol 28, Iss 4, Pp 2351-2372 (2021)
Radiomics is an emerging translational field of medicine based on the extraction of high-dimensional data from radiological images, with the purpose to reach reliable models to be applied into clinical practice for the purposes of diagnosis, prognosi
Externí odkaz:
https://doaj.org/article/bf886af951fd4238a74158c86ae50c58
Autor:
Luca Nicosia, Anna Carla Bozzini, Giulia Signorelli, Simone Palma, Filippo Pesapane, Samuele Frassoni, Vincenzo Bagnardi, Maria Pizzamiglio, Mariagiorgia Farina, Chiara Trentin, Silvia Penco, Lorenza Meneghetti, Claudia Sangalli, Enrico Cassano
Publikováno v:
Healthcare, Vol 11, Iss 4, p 511 (2023)
The aim of this study was to evaluate the diagnostic performance of contrast-enhanced spectral mammography (CESM) in predicting breast lesion malignancy due to microcalcifications compared to lesions that present with other radiological findings. Thr
Externí odkaz:
https://doaj.org/article/a30b64586dc840dfb449bc9594e7c780
Autor:
Matteo Basilio Suter, Filippo Pesapane, Giorgio Maria Agazzi, Tania Gagliardi, Olga Nigro, Anna Bozzini, Francesca Priolo, Silvia Penco, Enrico Cassano, Claudio Chini, Alessandro Squizzato
Publikováno v:
Breast, Vol 53, Iss , Pp 8-17 (2020)
Breast cancer diagnosis and staging is based on mammography, ultrasound, and magnetic resonance imaging (MRI). Contrast enhanced spectral mammography (CESM) has gained momentum as an innovative and clinically useful method for breast assessment. CESM
Externí odkaz:
https://doaj.org/article/9b7a7f079acb4b6798e95a5c85001d3f
Autor:
Filippo Pesapane, Chiara Trentin, Marta Montesano, Federica Ferrari, Luca Nicosia, Anna Rotili, Silvia Penco, Mariagiorgia Farina, Irene Marinucci, Francesca Abbate, Lorenza Meneghetti, Anna Bozzini, Antuono Latronico, Alessandro Liguori, Giuseppe Carrafiello, Enrico Cassano
Publikováno v:
Clinical and Experimental Obstetrics & Gynecology, Vol 49, Iss 11, p 237 (2022)
Objective: During the last decades, advances in computing power, structured data, and algorithm development, developed a technology based on Artificial intelligence (AI) which is currently applied in medicine. Nowadays, the main use of AI in breast i
Externí odkaz:
https://doaj.org/article/81a74519da9e4b06b49f0a48e96eb1e9
Autor:
Cassano, Anna Rotili, Filippo Pesapane, Giulia Signorelli, Silvia Penco, Luca Nicosia, Anna Bozzini, Lorenza Meneghetti, Cristina Zanzottera, Sara Mannucci, Bernardo Bonanni, Enrico
Publikováno v:
Diagnostics; Volume 13; Issue 12; Pages: 1996
Purpose: This study aimed to investigate the use of contrast-free magnetic resonance imaging (MRI) as an innovative screening method for detecting breast cancer in high-risk asymptomatic women. Specifically, the researchers evaluated the diagnostic p
Autor:
Filippo Pesapane, Anna Rotili, Elena Valconi, Giorgio Maria Agazzi, Marta Montesano, Silvia Penco, Luca Nicosia, Anna Bozzini, Lorenza Meneghetti, Antuono Latronico, Maria Pizzamiglio, Eleonora Rossero, Aurora Gaeta, Sara Raimondi, Silvia Francesca Maria Pizzoli, Roberto Grasso, Gianpaolo Carrafiello, Gabriella Pravettoni, Enrico Cassano
Publikováno v:
The British journal of radiology.
Objective: Although breast cancer screening can benefit from Artificial Intelligence (AI), it is still unknown whether, to which extent or under which conditions, the use of AI is going to be accepted by the general population. The aim of our study i
Autor:
Anna Rotili, Barbara Alicja Jereczek-Fossa, Giorgio Maria Agazzi, Sara Raimondi, Francesca Botta, Gianpaolo Carrafiello, Valeria Dominelli, Filippo Pesapane, Marta Cremonesi, Enrico Cassano, Silvia Penco
Publikováno v:
Current Oncology, Vol 28, Iss 217, Pp 2351-2372 (2021)
Current Oncology
Current Oncology
Radiomics is an emerging translational field of medicine based on the extraction of high-dimensional data from radiological images, with the purpose to reach reliable models to be applied into clinical practice for the purposes of diagnosis, prognosi